Adam Amiel Friedman

Affiliations: 
2007 Harvard University, Cambridge, MA, United States 
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"Adam Friedman"

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Norbert Perrimon grad student 2007 Harvard
 (Genomic dissection of receptor tyrosine kinase activation of extracellular signal -regulated kinase in Drosophila.)
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Sahu AD, S Lee J, Wang Z, et al. (2019) Genome-wide prediction of synthetic rescue mediators of resistance to targeted and immunotherapy. Molecular Systems Biology. 15: e8323
Ducker GS, Ghergurovich JM, Mainolfi N, et al. (2017) Human SHMT inhibitors reveal defective glycine import as a targetable metabolic vulnerability of diffuse large B-cell lymphoma. Proceedings of the National Academy of Sciences of the United States of America. 114: 11404-11409
Friedman AA, Xia Y, Trippa L, et al. (2017) Feasibility of ultra-high-throughput functional screening of melanoma biopsies for discovery of novel cancer drug combinations. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research
Friedman AA, Letai A, Fisher DE, et al. (2015) Precision medicine for cancer with next-generation functional diagnostics. Nature Reviews. Cancer
Friedman AA, Amzallag A, Pruteanu-Malinici I, et al. (2015) Landscape of Targeted Anti-Cancer Drug Synergies in Melanoma Identifies a Novel BRAF-VEGFR/PDGFR Combination Treatment. Plos One. 10: e0140310
Bergwitz C, Wee MJ, Sinha S, et al. (2013) Genetic determinants of phosphate response in Drosophila. Plos One. 8: e56753
Friedman AA, Tucker G, Singh R, et al. (2011) Proteomic and functional genomic landscape of receptor tyrosine kinase and ras to extracellular signal-regulated kinase signaling. Science Signaling. 4: rs10
Friedman AA, Perrimon N, VanHook AM. (2011) Science Signaling Podcast: 25 October 2011 Science Signaling. 4: pc22-pc22
Yang X, Friedman A, Nagpal S, et al. (2009) Use of a label-free quantitative platform based on MS/MS average TIC to calculate dynamics of protein complexes in insulin signaling. Journal of Biomolecular Techniques : Jbt. 20: 272-7
Kaplow IM, Singh R, Friedman A, et al. (2009) RNAiCut: automated detection of significant genes from functional genomic screens. Nature Methods. 6: 476-7
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